Society of Exploration Geophysicists
DATA SCIENTIST III
Society of Exploration Geophysicists, Noel, Missouri, United States, 64854
Position Summary...
What you'll do...
At Sam's Club, we are democratizing AI across all major functions in the business and radically disrupting conventional industry practices.
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development and training cycle time while raising the quality bar on AI/ML shipped services.
This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the Retail space and translate their solutions into a direct impact on the business and on Members.
About Team: Sam's AI LabsCentralized Data Science and Machine Learning Tech Group in Sam's Club Tech.
What you'll do:
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.Debug issues across environments, services, and tools.A continuous drive to explore, improve, enhance, automate, and optimize models and products.Work with engineering teams to implement model pipeline and deploy the service at scale.Collaborate closely with cross-functional teams to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.Document methodologies, findings, and recommendations in a clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving.
What you'll bring:BS or MS degree in Statistics, Computer Science or related field.Expertise in Data Science and Machine Learning including Regression, Classification, Ensemble Methods, Deep Learning, GenAI, etc.Expertise in python, PySpark and SQL.Strong hands-on skills in data wrangling over massive datasets using distributed computing platform.Expertise in time series forecasting.Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data.Experience in Google Cloud platform, Vertex AI, Kubeflow, model deployment.Familiarity with product development life cycle.Domain Knowledge of one or more divisions in Retail.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch).
Primary Location...
2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America#J-18808-Ljbffr
What you'll do...
At Sam's Club, we are democratizing AI across all major functions in the business and radically disrupting conventional industry practices.
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development and training cycle time while raising the quality bar on AI/ML shipped services.
This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the Retail space and translate their solutions into a direct impact on the business and on Members.
About Team: Sam's AI LabsCentralized Data Science and Machine Learning Tech Group in Sam's Club Tech.
What you'll do:
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.Debug issues across environments, services, and tools.A continuous drive to explore, improve, enhance, automate, and optimize models and products.Work with engineering teams to implement model pipeline and deploy the service at scale.Collaborate closely with cross-functional teams to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.Document methodologies, findings, and recommendations in a clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving.
What you'll bring:BS or MS degree in Statistics, Computer Science or related field.Expertise in Data Science and Machine Learning including Regression, Classification, Ensemble Methods, Deep Learning, GenAI, etc.Expertise in python, PySpark and SQL.Strong hands-on skills in data wrangling over massive datasets using distributed computing platform.Expertise in time series forecasting.Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data.Experience in Google Cloud platform, Vertex AI, Kubeflow, model deployment.Familiarity with product development life cycle.Domain Knowledge of one or more divisions in Retail.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch).
Primary Location...
2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America#J-18808-Ljbffr